Modelling extracellular electrical stimulation: part 4. Effect of the cellular composition of neural tissue on its spatio-temporal filtering properties

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dc.contributor.authorTahayori, Bahman
dc.contributor.authorMeffin, Hamish
dc.contributor.authorSergeev, Evgeni
dc.contributor.authorMareels, Iven
dc.contributor.authorBurkitt, Anthony
dc.contributor.authorGrayden, David
dc.date.accessioned2015-11-11T05:24:28Z
dc.date.available2015-11-11T05:24:28Z
dc.date.issued2014-11
dc.description.abstractOBJECTIVE: The objective of this paper is to present a concrete application of the cellular composite model for calculating the membrane potential, described in an accompanying paper. APPROACH: A composite model that is used to determine the membrane potential for both longitudinal and transverse modes of stimulation is demonstrated. MAIN RESULTS: Two extreme limits of the model, near-field and far-field for an electrode close to or distant from a neuron, respectively, are derived in this paper. Results for typical neural tissue are compared using the composite, near-field and far-field models as well as the standard isotropic volume conductor model. The self-consistency of the composite model, its spatial profile response and the extracellular potential time behaviour are presented. The magnitudes of the longitudinal and transverse components for different values of electrode-neurite separations are compared. SIGNIFICANCE: The unique features of the composite model and its simplified versions can be used to accurately estimate the spatio-temporal response of neural tissue to extracellular electrical stimulation.en_US
dc.description.sponsorshipThis research was supported by the Australian Research Council (ARC) through its Special Research Initiative (SRI) in Bionic Vision Science and Technology grant to Bionic Vision Australia (BVA) 10.13039/501100000923: SR1000005. The Bionics Institute acknowledges the support it receives from the Victorian Government through its Operational Infrastructure Support Program. This research was supported by a Victorian Life Sciences Computation Initiative (VLSCI) grant number VR0138 on its Peak Computing Facility at the University of Melbourne, an initiative of the Victorian Governmenten_US
dc.identifier.citationTahayori, B., H. Meffin, E. N. Sergeev, I. M. Y. Mareels, A. N. Burkitt and D. B. Grayden (2014). Modelling extracellular electrical stimulation: part 4. Effect of the cellular composition of neural tissue on its spatio-temporal filtering properties. Journal of Neural Engineering 11(6): 1-21.en_US
dc.identifier.urihttp://repository.bionicsinstitute.org:8080/handle/123456789/143
dc.language.isoenen_US
dc.publisherIOP Publishingen_US
dc.subjectelectrical stimulationen_US
dc.subjectcomposite modelen_US
dc.subjectvolume conductoren_US
dc.subjectnear-field approximationen_US
dc.subjectfar-field approximationen_US
dc.titleModelling extracellular electrical stimulation: part 4. Effect of the cellular composition of neural tissue on its spatio-temporal filtering propertiesen_US
dc.typeArticleen_US
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